text: import os
  import pytest
  import random
  import string
  from typing import List
  
  from framenet_tools.config import ConfigManager
  from framenet_tools.data_handler.annotation import Annotation
  from framenet_tools.data_handler.semaforreader import SemaforReader
  from framenet_tools.data_handler.semevalreader import SemevalReader
  from framenet_tools.data_handler.rawreader import RawReader
  
  cM = ConfigManager("config.file")
  
  
  class RandomFiles(object):
      def __init__(self, max_sentence_length: int, raw_file: bool = False):
          self.files = []
  
          if raw_file:
              self.m_reader = RawReader(cM)
              self.create_and_load_raw(max_sentence_length)
          else:
              self.m_reader = SemaforReader(cM)
              self.create_and_load(max_sentence_length)
  
      def __enter__(self):
          return self
  
      def __exit__(self, type, value, traceback):
          self.clean_up()
  
      def create_and_load_raw(self, max_sentence_length: int):
          """
          A Helper function which creates and loads a RAW file, that simply contains text.
  
          NOTE: Randomized!
  
          :param max_sentence_length: The maximum possible amount of sentences
          :return: A DataReader-Object and a list of the two file names
          """
  
          num_sentences = random.randint(1, max_sentence_length)
  
          raw_file = create_raw_file(num_sentences, 10)
  
          self.m_reader.read_raw_text(raw_file)
  
          self.files = [raw_file]
  
      def create_and_load(self, max_sentence_length: int):
          """
          A Helper function which creates and loads files with random content,
          but every file is formatted correctly.
  
          NOTE: Randomized!
  
          :param max_sentence_length: The maximum possible amount of sentences
          :return: A DataReader-Object and a list of the two file names
          """
  
          num_sentences = random.randint(1, max_sentence_length)
  
          frames_file = create_frames_file(num_sentences, 10)
          sentences_file = create_sentences_file(num_sentences, 10)
  
          self.m_reader.read_data(sentences_file, frames_file)
  
          self.files = [sentences_file, frames_file]
  
      def clean_up(self):
          """
          Clean up function
          Deletes all given files.
  
          :param files: A list of filenames to delete
          :return:
          """
  
          for file in self.files:
              if os.path.isfile(file):
                  os.remove(file)
  
  
  def create_random_string(
      possible_chars: str = string.ascii_lowercase, seq_length: int = 8
  ):
      """
      Helper function for generation of random strings.
  
      Inspired by: https://stackoverflow.com/questions/2257441/random-string-generation-with-upper-case-letters-and-digits-in-python
  
      :param seq_length:
      :param possible_chars:
      :return:
      """
  
      return "".join(
          random.choice(possible_chars) for _ in range(random.randint(1, seq_length))
      )
  
  
  def create_frames_file(
      sentence_count: int, max_frame_count: int, max_role_count: int = 5
  ):
      """
      Helper function for generating a well formatted random "frames file"
  
      NOTE: Randomized!
  
      :param sentence_count: The number of sentences
      :param max_frame_count: The maximum amount of frames to generate per sentence
      :param max_role_count: The maximum amount of roles per frame to generate
      :return: The name of the generated file
      """
  
      file_name = create_random_string(string.ascii_lowercase, 8)
      content = ""
  
      # Sentences
      for i in range(sentence_count):
          # Frames per sentence
          for j in range(random.randint(1, max_frame_count)):
  
              # Static part
              content += "1\t0.0\t" + str(random.randint(0, 5)) + "\t"
              # Frame
              content += (
                  create_random_string(string.ascii_letters + string.digits, 20) + "\t"
              )
              # FEE
              content += (
                  create_random_string(string.ascii_letters + string.digits, 20) + "\t"
              )
              # Static position
              content += "5\t"
              # Raw FEE
              content += (
                  create_random_string(string.ascii_letters + string.digits, 20) + "\t"
              )
              # Sentence number (starting at 0) and new line
              content += str(i)
  
              for g in range(random.randint(1, max_role_count)):
                  # Random role
                  content += (
                      "\t"
                      + create_random_string(string.ascii_letters + string.digits, 20)
                      + "\t"
                  )
                  # Static position
                  content += "0"
  
              content += "\n"
  
      with open(file_name, "w") as file:
          file.write(content)
  
      return file_name
  
  
  def create_sentences_file(sentence_count: int, max_word_count: int):
      """
      Helper Function for generation of random ".sentences" files.
  
      NOTE: Randomized!
  
      :param sentence_count: The max possible amount of lines/sentences in the file
      :param max_word_count: The max possible amount of words in a line/sentence
      :return: The name of the generated file
      """
  
      file_name = create_random_string(string.ascii_lowercase, 8)
      content = ""
  
      for i in range(sentence_count):
          for j in range(random.randint(1, max_word_count)):
              content += create_random_string(string.ascii_letters + string.digits) + " "
  
          content += "\n"
  
      with open(file_name, "w") as file:
          file.write(content)
  
      return file_name
  
  
  def create_raw_file(sentence_count: int, max_word_count: int):
      """
      Helper Function for generation of random ".txt" files.
      No line formatting guaranteed! Just plain text.
  
      NOTE: Randomized!
  
      :param sentence_count: The max possible amount of lines/sentences in the file
      :param max_word_count: The max possible amount of words in a line/sentence
      :return: The name of the generated file
      """
  
      file_name = create_random_string(string.ascii_lowercase, 8)
      content = ""
  
      for i in range(sentence_count):
          for j in range(random.randint(1, max_word_count)):
              content += create_random_string(string.ascii_letters + string.digits) + " "
  
          content += ". "
  
      with open(file_name, "w") as file:
          file.write(content)
  
      return file_name
  
  
  @pytest.mark.parametrize("raw", [True, False])
  def test_reader_simple(raw: bool):
      """
      A simple reader test
  
      NOTE: Reading in randomly (but well formatted) generated files.
  
      :return:
      """
  
      m_rndfiles = RandomFiles(10, raw)
      m_rndfiles.clean_up()
  
  
  def test_reader_no_file():
      """
      Checks if Exception is raised in case of no specified file
  
      :return:
      """
  
      with pytest.raises(Exception):
          m_reader = SemaforReader(cM)
          m_reader.read_data()
  
  
  def test_reader_sizes():
      """
      A reader test checking if no line was lost during loading in either of both files
  
      NOTE: Reading in randomly (but well formatted) generated files.
  
      :return:
      """
  
      with RandomFiles(10) as m_rndfiles:
          handler = [m_rndfiles.m_reader.sentences, m_rndfiles.m_reader.annotations]
  
          with open(m_rndfiles.files[0]) as file:
              raw = file.read()
              raw = raw.rsplit("\n")
  
          for i in range(2):
              # None empty lines counted
              line_count = sum(1 for line in raw if line != "")
  
              assert len(handler[i]) == line_count
  
  
  @pytest.mark.parametrize("use_spacy", [True, False])
  def test_reader_sizes_raw(use_spacy: bool):
      """
      Test the reader for raw text input. Checks if everything was loaded and nothing was lost.
  
      NOTE: Randomized and Parametrized (using nltk and spacy)
  
      :return:
      """
  
      cM.use_spacy = use_spacy
  
      with RandomFiles(10, True) as m_rndfiles:
          handler = m_rndfiles.m_reader.sentences
  
          with open(m_rndfiles.files[0]) as file:
              raw = file.read()
              raw = raw.replace(" ", "")
  
          word_count = sum(len(sent) for sent in raw)
  
          assert sum(len(token) for sent in handler for token in sent) == word_count
  
  
  def test_sentences_correctness():
      """
      A reader test checking if any read sentences file was not loaded correctly.
  
      NOTE: Reading in randomly (but well formatted) generated files.
  
      :return:
      """
  
      with RandomFiles(10) as m_rndfiles:
  
          file = open(m_rndfiles.files[0])
          raw = file.read()
          file.close()
  
          raw = raw.rsplit("\n")
  
          for line, sentence in zip(raw, m_rndfiles.m_reader.sentences):
  
              line = [x for x in line.rsplit(" ") if x != ""]
  
              assert sentence == line
  
  
  def get_sentence(sentences: List[str], sentence_num: int):
      """
      Helper function converting raw sentences into a list of words.
  
      :param sentences: The list of sentences as strings
      :param sentence_num: The number of the sentence to get
      :return: The sentence as a list of words as strings
      """
  
      sentence = sentences[sentence_num]
      sentence = [word for word in sentence.rsplit(" ") if word != ""]
  
      return sentence
  
  
  def test_frames_correctness():
      """
      A reader test checking if any read frames file was not loaded correctly.
  
      NOTE: Reading in randomly (but well formatted) generated files.
  
      :return:
      """
  
      with RandomFiles(10) as m_rndfiles:
  
          with open(m_rndfiles.files[1]) as file:
              raw = file.read()
  
          with open(m_rndfiles.files[0]) as file:
              sentences = file.read().rsplit("\n")
  
          raw = raw.rsplit("\n")
          reader_annotations = [x for y in m_rndfiles.m_reader.annotations for x in y]
  
          for line, annotation in zip(raw, reader_annotations):
  
              line = [x for x in line.rsplit("\t") if x != ""]
  
              roles = []
              role_positions = []
  
              for i in range(8, len(line), 2):
                  roles.append(line[i])
                  role_positions.append((int(line[i + 1]), int(line[i + 1])))
  
              orig_annotation = Annotation(
                  line[3],
                  line[4],
                  (int(line[5]), int(line[5])),
                  line[6],
                  get_sentence(sentences, int(line[7])),
                  roles,
                  role_positions,
              )
              # annotation = Annotation(line[3], line[4], line[5], line[6], int(line[7]))
              assert annotation == orig_annotation
  
  
  def read_and_export(path: str, semafor: bool = True):
      """
      Helper function to load and export a dummy file.
  
      :param path: The path to export the json to
      :param semafor: Whether to use semafor or semeval
      :return:
      """
  
      reader = None
  
      if semafor:
          reader = SemaforReader(cM)
          reader.read_data(
              "semafor_dummy.sentences",
              "semafor_dummy.frame.elements",
          )
  
          reader.export_to_json(path)
      else:
          reader = SemevalReader(cM)
          reader.read_data("semeval_dummy.xml")
  
      return reader
  
  
  @pytest.mark.parametrize("use_semafor", [True, False])
  def test_json_export(use_semafor: bool):
      """
      Tests if a file can be read and exported to a json file.
  
      :param use_semafor: Whether to use semafor or semeval
      :return:
      """
  
      read_and_export("test.json", use_semafor)
  
  
  @pytest.mark.parametrize("use_semafor", [True, False])
  def test_comparison(use_semafor: bool):
      """
      Tests if two different readers are correctly detected.
  
      :param use_semafor: Whether to use semafor or semeval
      :return:
      """
  
      path = "test.json"
  
      reader_original = read_and_export(path, use_semafor)
  
      reader = RawReader(cM)
      reader.import_from_json(path)
  
      reader.annotations[0][0].frame = "Different"
  
      assert not reader == reader_original
  
  
  @pytest.mark.parametrize("use_semafor", [True, False])
  def test_json_import(use_semafor: bool):
      """
      Tests the correctness of the json importing.
  
      :param use_semafor: Whether to use semafor or semeval
      :return:
      """
  
      path = "test.json"
  
      reader_original = read_and_export(path, use_semafor)
  
      reader = RawReader(cM)
      reader.import_from_json(path)
  
      assert reader == reader_original
  